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Sr. Data EngineerCognizantToronto, Ontario, Canada

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Sr. Data Engineer

Cognizant
  • CA
    Toronto, Ontario, Canada
  • CA
    Toronto, Ontario, Canada

À propos

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
Overview:
We are seeking a Senior Data Engineer with strong expertise in Azure cloud data services, ETL development, and modern data engineering tools. This role requires deep hands-on experience building, optimizing, and supporting large-scale data pipelines.
Key Responsibilities
Design, build, and optimize data pipelines using Azure Data Factory, Databricks, and ADLS
Develop ETL/ELT processes, data transformations, and orchestration workflows
Write efficient SQL for complex queries and performance tuning
Develop automation and scripts using Python, occasional development in Java
Ensure data quality, security, and compliance across the platform
Collaborate with cross-functional teams to support reporting, analytics, and data products.
Required Skills
10+ year's experience in Data Engineering or related fields
Strong hands-on experience with:
Azure PaaS (ADF, Databricks, ADLS, Key Vault, Functions)
Databricks (PySpark) and ETL/ELT pipeline development
SQL (advanced query writing and optimization)
Python for scripting, automation, and data processing
Java for backend or custom data components
Experience with orchestration, version control, CI/CD, and production support
Applications will be accepted until 20 Feb 2026.
Salary and Other Compensation:
The hourly salary for this position is between $(123, ,000) depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World's Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
  • Toronto, Ontario, Canada

Compétences linguistiques

  • English
Avis aux utilisateurs

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